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Updated: Jun 11, 2025

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
Cross validation of pharmacokinetic bioanalytical methods: Experimental and statistical design
I Nijem1, R Elliott1, J Brumm2
1Department of BioAnalytical Sciences, Genentech, South San Francisco, California, USA.
Abstract:
Pharmacokinetic (PK) analysis is an integral part of drug development. Health agency guidance provides development and validation recommendations for PK bioanalytical methods run in one laboratory. However, as a drug development program progresses, a PK bioanalytical method may need to be run in more than one laboratory. Additionally, a PK bioanalytical method format may change and a new method platform may be validated and implemented during the drug development cycle. Here we describe the cross validation strategy for comparisons of two validated bioanalytical methods used to generate PK data within the same study or across different studies. Current guidance for cross validations is limited and, therefore, Genentech, Inc. has developed a cross validation experimental strategy that utilizes incurred samples along with a comprehensive statistical analysis. One hundred incurred study samples over the applicable range of concentrations are selected based on four quartiles (Q) of in-study concentration levels. The samples are assayed once in the two bioanalytical methods. Bioanalytical method equivalency is assessed for the 100 samples based on pre-specified acceptability criterion: the two methods are considered equivalent if the percent differences in the lower and upper bound limits of the 90 % confidence interval (CI) are both within ±30 %. Quartile by concentration analysis using the same criterion may also need to be performed. A Bland-Altman plot of the percent difference of sample concentrations versus the mean concentration of each sample is also created to help further characterize the data. This strategy is a robust assessment of PK bioanalytical method equivalency and includes subgroup analyses by concentration to assess for biases. This strategy was implemented in two case studies: 1) two different laboratories using the same bioanalytical method and 2) a bioanalytical method platform change from enzyme-linked immunosorbent assay (ELISA) to multiplexing immunoaffinity (IA) liquid chromatography tandem mass spectrometry (IA LC-MS/MS).
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